Literature DB >> 15546844

Multislice CT urography: state of the art.

M Noroozian1, R H Cohan, E M Caoili, N C Cowan, J H Ellis.   

Abstract

Recent improvements in helical CT hardware and software have provided imagers with the tools to obtain an increasingly large number of very thin axial images. As a result, a number of new applications for multislice CT have recently been developed, one of which is CT urography. The motivation for performing CT urography is the desire to create a single imaging test that can completely assess the kidneys and urinary tract for urolithiasis, renal masses and mucosal abnormalities of the renal collecting system, ureters and bladder. Although the preferred technique for performing multislice CT urography has not yet been determined and results are preliminary, early indications suggest that this examination can detect even subtle benign and malignant urothelial abnormalities and that it has the potential to completely replace excretory urography within the next several years. An important limitation of multislice CT urography is increased patient radiation exposure encountered when some of the more thorough recommended techniques are utilized.

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Year:  2004        PMID: 15546844     DOI: 10.1259/bjr/13478281

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  21 in total

Review 1.  Multi-detector computed tomography of acute abdomen.

Authors:  Sebastian Leschka; Hatem Alkadhi; Simon Wildermuth; Borut Marincek
Journal:  Eur Radiol       Date:  2005-08-27       Impact factor: 5.315

Review 2.  Understanding multislice CT urography techniques: Many roads lead to Rome.

Authors:  Claus Nolte-Ernsting; Nigel Cowan
Journal:  Eur Radiol       Date:  2006-09-05       Impact factor: 5.315

3.  Comments on: Multidetector row computed tomography.

Authors:  Nigel Cowan
Journal:  Ann R Coll Surg Engl       Date:  2006-09       Impact factor: 1.891

4.  Urinary bladder segmentation in CT urography (CTU) using CLASS.

Authors:  Lubomir Hadjiiski; Heang-Ping Chan; Richard H Cohan; Elaine M Caoili; Yuen Law; Kenny Cha; Chuan Zhou; Jun Wei
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

5.  High prevalence of upper urinary tract involvement detected by 111indium-oxine leukocyte scintigraphy in patients with candiduria.

Authors:  J P Horcajada; M Gutiérrez-Cuadra; I Martínez-Rodríguez; C Salas; J A Parra; N Benito; R Quirce; J M Carril; M C Fariñas
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-06-02       Impact factor: 3.267

6.  Detection of urinary bladder mass in CT urography with SPAN.

Authors:  Kenny Cha; Lubomir Hadjiiski; Heang-Ping Chan; Richard H Cohan; Elaine M Caoili; Chuan Zhou
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

7.  U-Net based deep learning bladder segmentation in CT urography.

Authors:  Xiangyuan Ma; Lubomir M Hadjiiski; Jun Wei; Heang-Ping Chan; Kenny H Cha; Richard H Cohan; Elaine M Caoili; Ravi Samala; Chuan Zhou; Yao Lu
Journal:  Med Phys       Date:  2019-02-28       Impact factor: 4.071

8.  Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.

Authors:  Kenny H Cha; Lubomir Hadjiiski; Ravi K Samala; Heang-Ping Chan; Elaine M Caoili; Richard H Cohan
Journal:  Med Phys       Date:  2016-04       Impact factor: 4.071

9.  CT urography: segmentation of urinary bladder using CLASS with local contour refinement.

Authors:  Kenny Cha; Lubomir Hadjiiski; Heang-Ping Chan; Elaine M Caoili; Richard H Cohan; Chuan Zhou
Journal:  Phys Med Biol       Date:  2014-05-07       Impact factor: 3.609

10.  Influence of bladder distension on opacification of urinary collecting system during CT urography.

Authors:  Josip Curić; Mirjana Vukelić-Marković; Petar Marusić; Ana Hrkać-Pustahija; Boris Brkljacić
Journal:  Eur Radiol       Date:  2008-02-15       Impact factor: 5.315

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